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Section 2.7 Example 2

Sep 13, 2025

Overview

This lecture covers how to calculate standard deviation, variance, and range by hand and with a calculator, emphasizing their meanings and differences as measures of data spread.

Calculating Standard Deviation by Hand

  • The standard deviation formula involves subtracting each value from the mean, squaring the result, summing all squared differences, dividing by n-1, then taking the square root.
  • List all data values and the mean (xĢ„) in a table to organize calculations.
  • Subtract the mean from each value, square each result, and add them up to get the sum of squared differences.
  • Divide this sum by (n-1), where n is the sample size, for the variance.
  • Take the square root of the variance to get the standard deviation.
  • Always round the final answer to one decimal place beyond the original data's precision.

Using a Calculator for Standard Deviation

  • Input data into the calculator under "STAT" and "EDIT" menus (typically into list L1).
  • To clear old data, use the arrow to highlight L1, then select "Clear" and "Enter."
  • Use "STAT" → "CALC" → "1-Var Stats" and specify the list to have the calculator compute mean and standard deviation.
  • The standard deviation (Sx) shown matches hand-calculated results.

Comparing Measures of Variation

  • Range is found by subtracting the minimum value from the maximum value.
  • Standard deviation reflects the typical distance of values from the mean.
  • A larger standard deviation or range indicates more spread in the data.

Variance (s²)

  • Variance is the square of the standard deviation (s² = (Sx)²).
  • To find variance, use the unrounded standard deviation value; otherwise, rounding first may introduce error.
  • Variance offers another numerical measure of data spread but is less commonly reported than standard deviation.

Key Terms & Definitions

  • Mean (xĢ„) — the average of all data values.
  • Standard Deviation (Sx) — the typical distance data values are from the mean, calculated as the square root of variance.
  • Variance (s²) — the average squared distance from each data value to the mean.
  • Range — the difference between the maximum and minimum values in a dataset.
  • Sample Size (n) — the number of data points in the sample.

Action Items / Next Steps

  • Practice calculating standard deviation, variance, and range both by hand and with a calculator.
  • Read the top of page 29 on variance and complete related homework problems.
  • Prepare to discuss additional measures of variation in the next class.